In a network virtualization environment, multi-domain virtual network embedding (MVNE) deals with properly partitioning a virtual network (VN) request into sub-VN requests across multiple domains for embedding with the aim of minimizing the embedding cost. Resource matching and VN partitioning are two key phases in MVNE. However, a resource matching algorithm capable of providing accurate numerical attribute matching and VN users' diversified mapping constraints specification has not been explicitly studied by the existing research. Moreover, an efficient solution is needed for MVNE which is NP-hard. This paper provides an OWL and SWRL based resource matching algorithm and a genetic algorithm based VN partitioning algorithm to tackle the problems mentioned above. The correctness of the presented method is proved by theoretical analysis, and the validity of the method is assessed by simulation experiments in terms of efficiency, performance, and stability.